{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7d0d179d",
   "metadata": {},
   "source": [
    "# THE CODE IS IN MY GITHUB!!!\n",
    "Go and checkout my github if you want the to_candle file!\n",
    "## https://github.com/kecoma1/Trading_BOT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dc133857",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import to_candle"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1c665d2",
   "metadata": {},
   "source": [
    "## Candle dataframe\n",
    "This dataframe is obtained through the from_tick_to_candle function. The dataframe contains the following columns:\n",
    "* **TIME-UTC**: UTC-TIME since epoch in seconds.\n",
    "* **OPEN**: Open price of that candle.\n",
    "* **CLOSE**: Close price of the candle.\n",
    "* **HIGH**: Highest price of the candle.\n",
    "* **LOW**: Lowest price of the candle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "794baf27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TIME-UTC</th>\n",
       "      <th>OPEN</th>\n",
       "      <th>CLOSE</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.633298e+09</td>\n",
       "      <td>110.881</td>\n",
       "      <td>110.935</td>\n",
       "      <td>110.940</td>\n",
       "      <td>110.908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.633299e+09</td>\n",
       "      <td>110.935</td>\n",
       "      <td>110.911</td>\n",
       "      <td>110.935</td>\n",
       "      <td>110.939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.633300e+09</td>\n",
       "      <td>110.911</td>\n",
       "      <td>110.942</td>\n",
       "      <td>110.942</td>\n",
       "      <td>110.939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.633301e+09</td>\n",
       "      <td>110.942</td>\n",
       "      <td>110.918</td>\n",
       "      <td>110.969</td>\n",
       "      <td>110.977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.633302e+09</td>\n",
       "      <td>110.918</td>\n",
       "      <td>110.933</td>\n",
       "      <td>111.029</td>\n",
       "      <td>110.930</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       TIME-UTC     OPEN    CLOSE     HIGH      LOW\n",
       "0  1.633298e+09  110.881  110.935  110.940  110.908\n",
       "1  1.633299e+09  110.935  110.911  110.935  110.939\n",
       "2  1.633300e+09  110.911  110.942  110.942  110.939\n",
       "3  1.633301e+09  110.942  110.918  110.969  110.977\n",
       "4  1.633302e+09  110.918  110.933  111.029  110.930"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "candle_df = to_candle.from_tick_to_candle(\"USDJPY.csv\", 15*60)\n",
    "candle_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ea75aa13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "del candle_df[\"TIME-UTC\"]\n",
    "candle_df.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bf5fd6c",
   "metadata": {},
   "source": [
    "## Technical analysis library - ta.trend.SMAIndicator\n",
    "**pip install ta**\n",
    "\n",
    "Using the *ta* library we are going to load the SMA information of the current dataframe using the *close column*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a6b946a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ta.trend import SMAIndicator\n",
    "sma_object =SMAIndicator(candle_df[\"CLOSE\"], window=9, fillna=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1371837",
   "metadata": {},
   "source": [
    "Computing the SMA value.\n",
    "\n",
    "### SMA values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "96b14e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "470    112.188667\n",
       "471    112.192333\n",
       "472    112.194556\n",
       "473    112.193778\n",
       "474    112.193444\n",
       "Name: sma_9, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sma = sma_object.sma_indicator()\n",
    "sma.tail(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0920ec80",
   "metadata": {},
   "source": [
    "# SMA PLOT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "98396333",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sma.plot(figsize=(20, 10))"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "b3ba2566441a7c06988d0923437866b63cedc61552a5af99d1f4fb67d367b25f"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
